Match

Beijing Renhe vs Wuhan Zall: result 0-2 and analysis

Super LeagueRegular Season - 17Kick-off on July 13, 2019 at 11:35 AM (UTC)Beijing Fengtai Stadium, Beijing

Beijing Renhe
0-2
Wuhan Zall

Full time

What was the result of Beijing Renhe vs Wuhan Zall?

Wuhan Zall won 0-2 on July 13, 2019.

Goalscorers

  • 44′Léo BaptistãoWuhan Zall
  • 82′J. KouassiWuhan Zall (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Beijing Renhe have 4 wins, 2 draws and 9 defeats; Wuhan Zall have 5, 3 and 7.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Beijing Renhe
DateOpponentScoreCompetition
Jul 7, 2019Shandong Luneng(home)0-2Super League
Jun 29, 2019Dalian Aerbin(home)1-3Super League
Jun 22, 2019SHANGHAI SIPG(away)0-3Super League
Jun 16, 2019Jiangsu Suning(away)1-4Super League
Jun 1, 2019Tianjin Songjiang(home)2-0Super League
Wuhan Zall
DateOpponentScoreCompetition
Jul 6, 2019Beijing Guoan(away)0-3Super League
Jun 29, 2019Hebei Zhongji(away)2-0Super League
Jun 23, 2019Chongqing Lifan(home)2-3Super League
Jun 15, 2019Guangzhou R&F(away)4-3Super League
Jun 8, 2019Henan Jianye(home)0-0Super League

What does the head-to-head say?

Across the last 5 meetings: 3 Beijing Renhe win(s), 1 draw(s), 1 Wuhan Zall win(s).

DateScoreCompetition
Mar 10, 2019Wuhan Zall 1-0 Beijing RenheSuper League
Sep 9, 2017Beijing Renhe 1-0 Wuhan ZallLeague One
May 20, 2017Wuhan Zall 1-1 Beijing RenheLeague One
Aug 21, 2016Beijing Renhe 1-0 Wuhan ZallLeague One
May 8, 2016Wuhan Zall 1-2 Beijing RenheLeague One

Last archived meeting: Wuhan Zall vs Beijing Renhe on Mar 10, 2019

How many goals should we expect?

Beijing Renhe score 1.0 and concede 2.3 goals per match over their last 15; Wuhan Zall score 1.4 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Beijing Renhe1.02.329/1510/15
Wuhan Zall1.41.7310/1510/15

Over the last 15 matches in all competitions.

How does Footlab compute this prediction?

The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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